Language usage over computer mediated discourses, like chats, emails and SMS texts, significantly differs from the standard form of the language. An urge towards shorter message length facilitating faster typing and the need for semantic clarity, shape the structure of this text used in such discourses.

Various business analysts estimate that unstructured data constitutes around 80% of the whole enterprise data.[2] A great proportion of this data comprises chat transcripts, emails and other informal and semi-formal internal and external communications. Usually such text is meant for human consumption, but - given the amount of data - manual processing and evaluation of those resources is not practically feasible anymore. This raises the need for robust text mining methods as described in noisy text analytics.